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Probabilistic and Randomized Methods for Design under Uncertainty
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ISBN: 9781846280948

In many engineering design and optimisation problems, the presence of uncertainty in the data is a central and critical issue. Different fields of engineering use different ways to descri… More...

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Probabilistic and Random Methods for Design - Calafiore, G
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Probabilistic and Random Methods for Design - hardcover

2006, ISBN: 9781846280948

Erscheinungsdatum: 01/2006, Medium: Buch, Einband: Gebunden, Titel: Probabilistic and Randomized Methods for Design Under Uncertainty, Autor: Calafiore, Giuseppe // Dabbene, Fabrizio, Ver… More...

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Probabilistic and Randomized Methods for Design Under Uncertainty - Calafiore, Giuseppe; Dabbene, Fabrizio
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Calafiore, Giuseppe; Dabbene, Fabrizio:
Probabilistic and Randomized Methods for Design Under Uncertainty - hardcover

2006

ISBN: 184628094X

Gebundene Ausgabe Dynamisches System, Entscheidungstheorie, Operations Research, Unternehmensforschung, Fertigungstechnik, Zuverlässigkeit, Elektrogerät, Elektronik / Gerät, Elektronik -… More...

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Probabilistic and Randomized Methods for Design Under Uncertainty - Calafiore, Giuseppe; Dabbene, Fabrizio
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Calafiore, Giuseppe; Dabbene, Fabrizio:
Probabilistic and Randomized Methods for Design Under Uncertainty - hardcover

2006, ISBN: 184628094X

Gebundene Ausgabe Dynamisches System, Entscheidungstheorie, Operations Research, Unternehmensforschung, Fertigungstechnik, Zuverlässigkeit, Elektrogerät, Elektronik / Gerät, Elektronik -… More...

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Probabilistic and Randomized Methods for Design Under Uncertainty - Giuseppe Calafiore/ Fabrizio Dabbene
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Giuseppe Calafiore/ Fabrizio Dabbene:
Probabilistic and Randomized Methods for Design Under Uncertainty - hardcover

2006, ISBN: 184628094X

Probabilistic and Randomized Methods for Design Under Uncertainty ab 352.99 € als gebundene Ausgabe: Auflage 2006. Aus dem Bereich: Bücher, Wissenschaft, Mathematik, Medien > Bücher, Spri… More...

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Probabilistic and Randomized Methods for Design Under Uncertainty
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ISBN:

9781846280948


In many engineering design and optimization problems, the presence of uncertainty in the data is a critical issue. There are different ways to describe this uncertainty and to devise designs that are partly insensitive or robust to it. This book examines uncertain systems in control engineering and general decision or optimization problems for which data is uncertain. Written by leading researchers in optimization and robust control; it highlights the interactions between these two fields. Part I describes theory and solution methods for probability-constrained and stochastic optimization problems; Part II focuses on numerical methods for solving randomly perturbed convex programs and semi-infinite optimization problems by probabilistic techniques; Part III details the theory and applications of randomized techniques to the analysis and design of robust control systems. It will interest researchers, academics and postgraduates in control engineering and operations research as well as professionals working in operations research. TOC:Part I Chance-Constrained and Stochastic Optimization: Scenario Approximations of Chance Constraints.- Optimization Models with Probabilistic Constraints.- Theoretical Framework for Comparing Several Stochastic Optimization Approaches.- Optimization of Risk Measures.- Part II Robust Optimization and Random Sampling.- Sampled Convex Programs and Probabilistically Robust Design.- Tetris: A Study of Randomized Constraint Sampling.- Near Optimal Solutions to Least-Squares Problems with Stochastic Uncertainty.- The Randomized Ellipsoid Algorithm for Constrained Robust Least Squares Problems.- Randomized Algorithms for Semi-Infnite Programming Problems.- Part III Probabilistic Methods in Identifcation and Control: A Learning Theory Approach to System Identifcation and Stochastic Adaptive Control.- Probabilistic Design of a Robust Controller Using a Parameter-Dependent Lyapunov Function.- Probabilistic Robust Controller Design: Probable Near Minimax Value and Randomized Algorithms.- Sampling Random Transfer Functions.- Nonlinear Systems Stability via Random and Quasi-Random Methods.- Probabilistic Control of Nonlinear Uncertain Systems.- Fast Randomized Algorithms for Probabilistic Robustness Analysis.- References.

Details of the book - Probabilistic and Randomized Methods for Design Under Uncertainty


EAN (ISBN-13): 9781846280948
ISBN (ISBN-10): 184628094X
Hardcover
Publishing year: 2006
Publisher: Springer-Verlag GmbH
457 Pages
Weight: 0,807 kg
Language: eng/Englisch

Book in our database since 2007-06-05T17:43:44-04:00 (New York)
Detail page last modified on 2023-05-23T13:55:10-04:00 (New York)
ISBN/EAN: 9781846280948

ISBN - alternate spelling:
1-84628-094-X, 978-1-84628-094-8
Alternate spelling and related search-keywords:
Book author: fabrizio, giuseppe, calafiore, probabilistic method
Book title: methods for design, take away design, probabilistic method, design und design

Information from Publisher

Author: Giuseppe Calafiore; Fabrizio Dabbene
Title: Probabilistic and Randomized Methods for Design under Uncertainty
Publisher: Springer; Springer London
458 Pages
Publishing year: 2005-12-02
London; GB
Printed / Made in
Weight: 1,840 kg
Language: English
320,99 € (DE)
329,99 € (AT)
354,00 CHF (CH)
POD
XIV, 458 p.

BB; Control and Systems Theory; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Regelungstechnik; Verstehen; Analysis; Stochastic Optimization; Stochastic model; Stochastic modelling; control engineering; modeling; operations research; optimization; quality control, reliability, safety and risk; Control, Robotics, Mechatronics; Quality Control, Reliability, Safety and Risk; Operations Research/Decision Theory; Control and Systems Theory; Control, Robotics, Automation; Security Science and Technology; Operations Research and Decision Theory; Sicherheitssysteme und Brandmeldeanlagen; Unternehmensforschung; Management: Entscheidungstheorie; BC; EA

Part I Chance-Constrained and Stochastic Optimization Scenario Approximations of Chance Constraints Optimization Models with Probabilistic Constraints Theoretical Framework for Comparing Several Stochastic Optimization Approaches Optimization of Risk Measures Part II Robust Optimization and Random Sampling Sampled Convex Programs and Probabilistically Robust Design Tetris: A Study of Randomized Constraint Sampling Near Optimal Solutions to Least-Squares Problems with Stochastic Uncertainty The Randomized Ellipsoid Algorithm for Constrained Robust Least Squares Problems Randomized Algorithms for Semi-Infnite Programming Problems Part III Probabilistic Methods in Identifcation and Control A Learning Theory Approach to System Identifcation and Stochastic Adaptive Control Probabilistic Design of a Robust Controller Using a Parameter-Dependent Lyapunov Function Probabilistic Robust Controller Design: Probable Near Minimax Value and Randomized Algorithms Sampling Random Transfer Functions Nonlinear Systems Stability via Random and Quasi-Random Methods Probabilistic Control of Nonlinear Uncertain Systems Fast Randomized Algorithms for Probabilistic Robustness Analysis References
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